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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.

R. Ceschin, A. Zahner, W. Reynolds, J. Gaesser, G. Zuccoli, C. Lo, V. Gopalakrishnan, and A. Panigrahy. NeuroImage, (2018)

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Madhusmita Panigrahy

Singh Ashok

Amit Ashok

Ashok Modi

Ashok Varandani

Other publications of authors with the same name

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.R. Ceschin, A. Zahner, W. Reynolds, J. Gaesser, G. Zuccoli, C. Lo, V. Gopalakrishnan, and A. Panigrahy. NeuroImage, (2018)Quantitative analysis of the corpus callosum in children with cerebral palsy and developmental delay: correlation with cerebral white matter volume.A. Panigrahy, P. Barnes, R. Robertson, L. Sleeper, and J. Sayre. Pediatr Radiol, 35 (12): 1199--1207 (December 2005)Evaluating Brain Age Models in Adolescents with CHD.J. Roy, A. Panigrahy, and R. Ceschin. AMIA, AMIA, (2021)Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification.J. Luo, G. Kitamura, D. Arefan, E. Doganay, A. Panigrahy, and S. Wu. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 555-564. Springer, (2021)Constrained Deep One-Class Feature Learning For Classifying Imbalanced Medical Images.L. Gao, C. Liu, D. Arefan, A. Panigrahy, and S. Wu. CoRR, (2021)Medical Knowledge-Guided Deep Learning for Imbalanced Medical Image Classification.L. Gao, C. Liu, D. Arefan, A. Panigrahy, M. Zuley, and S. Wu. CoRR, (2021)Medical knowledge-guided deep learning for mammographic breast density classification.L. Gao, C. Liu, D. Arefan, A. Panigrahy, M. Zuley, and S. Wu. Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)Using Prealignment in Global Volume Registration to Decrease Motion in Neonatal Resting-State fMRI.J. Schabdach, R. Ceschin, V. Lee, V. Schmithorst, and A. Panigrahy. AMIA, AMIA, (2018)Somatosensory lateralization in the newborn brain.S. Erberich, A. Panigrahy, P. Friedlich, I. Seri, M. Nelson, and F. Gilles. NeuroImage, 29 (1): 155-161 (2006)Surface fluid registration and multivariate tensor-based morphometry in newborns - the effects of prematurity on the putamen.J. Shi, Y. Wang, R. Ceschin, X. An, M. Nelson, A. Panigrahy, and N. Leporé. APSIPA, page 1-8. IEEE, (2012)

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Disambiguation of "Panigrahy, Ashok"

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A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.

Please choose a person to relate this publication to

Madhusmita Panigrahy

Singh Ashok

Amit Ashok

Ashok Modi

Ashok Varandani

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Panigrahy, Ashok"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.

Please choose a person to relate this publication to

Madhusmita Panigrahy

Singh Ashok

Amit Ashok

Ashok Modi

Ashok Varandani

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

A computational framework for the detection of subcortical brain dysmaturation in neonatal MRI using 3D Convolutional Neural Networks.